Testing of Newtonian nudging technique in data assimilation on the meso-beta-scale
- National Center for Atmospheric Research, Boulder, CO (United States)
The Newtonian nudging technique is a practical and flexible method for synoptic scale and meso-{alpha}-scale data assimilation. Application of the nudging technique for meso-{beta}-scale data assimilation has been rare. As part of the development of an Integrated Data Assimilation and Sounding System in support of the ARM measurement program, the authors have experimented with the Newtonian nudging technique for meso-{beta}-scale data assimilation. With the meso-{beta}-scale dataset (station separation is 90 km) available in WISP/ARM-91, the optimal nudging coefficient G is around 1 x 10{sup {minus}3} s{sup {minus}1} for a high-resolution (5 km) mesoscale model. A good choice of radius of influence R is a value close to the station separation. In this study, R = 50 km gives smaller errors, and neither the noise parameter nor the wind rms errors are sensitive to the radius of influence for R {ge} 50 km.
- Research Organization:
- USDOE Office of Energy Research, Washington, DC (United States). Environmental Sciences Div.
- OSTI ID:
- 83176
- Report Number(s):
- CONF-940277-; ON: DE95009951; TRN: 95:003626-0035
- Resource Relation:
- Conference: Atmospheric radiation measurement science team meeting, Charleston, SC (United States), 28 Feb - 3 Mar 1994; Other Information: PBD: Apr 1995; Related Information: Is Part Of Proceedings of the Fourth Atmospheric Radiation Measurement (ARM) Science Team Meeting; PB: 373 p.
- Country of Publication:
- United States
- Language:
- English
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